Neuro-fuzzy Based Intrusion Detection Systems for Network Security

Computer networks are more vulnerable to insider and outsider attacks in recent days due to its widespread use in each field. For that aspect, numbers of security mechanism have been applied to minimize the effect of possible attacks in the network. One of very appealing concept towards network security is intrusion detection system that can able to identify the difference between normal and abnormal activities in the network. There are many intrusion detection systems have been proposed to detect the intrusion or intruders in the network. In general, soft computing techniques i.e. neuro-fuzzy based intrusion detection system make as a keystone to detect the intrusion with high detection rates. This paper is going to emphasize the proposed neuro-fuzzy based intrusion detection system and also discussed their suitability in terms of detection rates and false positives rates towards network security.